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The next public release of PyTables, namely, 1.1.1 has been made
(no binary versions for Windows available yet)
Look at the announcement notes below. If I don't hear problems about
it for a while, I'll announce it more widely.
Also, a new beta version of 1.2 release (beta 2) is also available in
case anybody wants to take it a try. It seems that the Windows issues
has been resolved. It is also available in url stated above.
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Announcing PyTables 1.1.1
This is a maintenance release of PyTables. On it, several
optimizations and bug fixes has been made. As some of the fixed bugs
are quite important, it's strongly recommended for users to upgrade.
Go to the PyTables web site for downloading the beast:
or keep reading for more info about the improvements and bugs fixed.
Changes more in depth
=2D Optimized the opening of files with a large number of objects. Now,
files with table objects opens a 50% faster, and file with arrays
opens more than twice as fast (up to 2000 objects/s on a Pentium
4@...). Hence, a file with a combination of both kinds of objects,
opens between a 50% and 100% faster than 1.1.
=2D Optimized the creation of NestedRecArray objects using NumArray
objects as columns, so that filling a table with Table.append() method
achieves the similar performance than PyTables pre-1.1 releases.
=2D ``Table.readCoordinates()`` now converts the coords parameter into ``In=
=2D Fixed a bug that prevented appending to tables (though Table.append)
using a list of numarray objects.
=2D Solved a small bug for creating indexes for first time in tables and
retain the filter properties for posterior use.
=2D Int32 attributes are dealed correctly in 64-bit platforms now.
=2D Correction for accepting lists of numarrays as input for NestedRecArray=
=2D Fixed problem creating rank 1 multi-dimensional string columns in ``Tab=
objects. Closes SF bug #1269023.
=2D Avoid errors when unpickling objects stored in attributes. See the
section ``AttributeSet`` in the reference chapter of the User's
Manual for more information. Closes SF bug #1254636.
=2D Classes inheriting from IsDescription subclasses do not
inherit columns defined in the super-class. See SF bug #1207732 for
=2D Time datatypes are non-portable between big-endian and little-endian
architectures. This is ultimately a consequence of a HDF5
limitation. See SF bug #1234709 for more info.
-- The PyTables Team